Dr. Lisa Lix

Dr. Lix is a Professor of Bio-statistics and a Tier 1 Canada Research Chair in Methods for Electronic Health Data Quality in the Department of Community Health Sciences, University of Manitoba. Her research focuses on methods for conducting population health and health policy research using electronic health databases. Her contributions lie in four main areas: (1) statistical methods to evaluate the quality of electronic health databases for research and disease surveillance, (2) fracture risk prediction, (3) statistical methods for patient-reported outcome measures (PROMs), and (4) post-marketing surveillance of prescription drug safety and effectiveness. Dr. Lix’s research aims to develop and apply statistical models to address the challenges of less-than-optimal quality of healthcare databases. She collaborates widely on studies about population health and health service use.
Dr. Lix currently co-chairs the Public Health Agency of Canada’s Canadian Chronic Disease Surveillance System (CCDSS) Data Quality Working Group. She is also a member of the Steering Committee of the Canadian Network of Observational Drug Effect Studies (CNODES), which conducts national drug safety and effectiveness research using administrative databases. She co-leads a six-year training grant (2017 – 2023) from the Natural Sciences and Engineering Research Council of Canada (NSERC) entitled “The Visualization and Automated Disease Analytics (VADA) Program” (http://vada.cs.umanitoba.ca/). With colleagues from across Canada, she is leading a Summer Institute Training Initiative entitled “AI for public health (AI4PH): A focus on equity and prevention” (http://www.ai4ph.ca/) funded by the Canadian Institutes of Health Research (2019 – 2024).